Abstract: Provided is a wearable display module including a display panel, a plurality of light-emitting elements, a plurality of photoelectric sensor assemblies, and an optical structure. The display panel includes a display region and a peripheral region surrounding the display region. The light-emitting elements are configured to emit light to be irradiated to eyes of a user. The photoelectric sensor assemblies are disposed in the peripheral region, each of the photoelectric sensor assemblies being configured to receive optical signals reflected via the eyes of the user, and convert the optical signals into electric signals. The optical structure is disposed on a side of the photoelectric sensor assembly, and the optical structure includes a light shielding region and a plurality of light transmitting regions, wherein each of the light-transmitting regions at least is configured to transmit the optical signal to a photoelectric sensor assembly corresponding to the light transmitting regions.

Abstract: A light-emitting device includes a semiconductor epitaxial structure that has a first surface and a second surface opposite to the first surface. The semiconductor epitaxial structure includes a first-type semiconductor layered unit, an active layer, and a second-type semiconductor layered unit sequentially disposed in such order in a direction from the first surface to the second surface. The active layer includes quantum well layers and quantum barrier layers stacked alternately, each of the quantum well layers includes a material that is represented by InxGa1-xAs, and each of the quantum barrier layers includes a material that is represented by GaAs1-yPy, where 0.2?x?0.3, and 0?y?y0.05.

Abstract: The present disclosure provides a wearable display device that relates to the field of virtual reality technology. Because the wearable display device has a high efficiency in processing electric signals transmitted via each of the photoelectric sensor assemblies, the wearable display device can quickly determine a gaze position of eyes of a user on the display panel based on an electric signals transmitted via each of the photoelectric sensor assemblies. In this way, the efficiency of the display panel in displaying images is improved, and the refresh rate of the display panel is higher.

Abstract: This application discloses an intent recognition optimization processing method, apparatus, device and storage medium, and relates to the field of internet technology. The implementation scheme of specific method includes: acquiring a first intent set and at least one original corpus; acquiring a first recognition result of each original corpus, where the first recognition result of any one of the original corpus includes a first intent corresponding to the original corpus recognized by the intent recognition model; acquiring a second recognition result of each original corpus, where the second recognition result of any one of the original corpus includes a second intent corresponding to the original corpus obtained through artificial recognition; and performing optimization processing on the first intent set to obtain a second intent set according to the first recognition result and the second recognition result of each original corpus.

Abstract: This disclosure provides an array substrate, including: a display region and a peripheral region. The peripheral region includes at least one first sensor. The first sensor includes a photodiode and a driving circuit which are electrically connected to each other. The photodiode includes: an anode, a cathode and a photosensitive material layer. The array substrate includes: a base substrate, a plurality of thin film transistors, a common electrode and a pixel electrode. The common electrode is reused as an anode of the photodiode. The pixel electrode is reused as a cathode of the photodiode. One of the plurality of thin film transistors is reused as a first transistor of the driving circuit.

Abstract: A terrain modeling method that fuses geometric characteristics and mechanical characteristics, and a terrain modeling system are provided in the present invention. The method includes steps of: obtaining color images and depth images of the detected region, performing a terrain semantic segmentation on the color images, and fusing ground semantic information obtained by the semantic segmentation and depth information contained in the depth images at the same time to generate the point clouds; mapping the point clouds to a raster map in a map coordinate system to generate corresponding rasters, and updating the elevation values to the corresponding rasters; and calculating the input images in terms of terra-mechanical characteristics, and updating calculation results to the corresponding rasters to generate a terrain model.

Abstract: A terrain modeling method that fuses geometric characteristics and mechanical characteristics, and a terrain modeling system are provided in the present invention. The method includes steps of: obtaining color images and depth images of the detected region, performing a terrain semantic segmentation on the color images, and fusing ground semantic information obtained by the semantic segmentation and depth information contained in the depth images at the same time to generate the point clouds; mapping the point clouds to a raster map in a map coordinate system to generate corresponding rasters, and updating the elevation values to the corresponding rasters; and calculating the input images in terms of terra-mechanical characteristics, and updating calculation results to the corresponding rasters to generate a terrain model.